Author

Zhigang Lu

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Open access Sep 2026

CSCProv: causal-semantic consistent provenance graph compression for attack detection

Provenance graphs have become an important foundation for attack investigation and anomaly detection in enterprise systems. However, system audit logs generate massive numbers of events, resulting in extremely large provenance graphs that not only hinder efficient security analysis but also impose significant storage a...

Ning An, Yan Zhu, Wen-Hao Yan et al. · Cybersecurity · 0 citations

Open access Jul 2026

No train, no pain: a training-free few-shot traffic classifier based on LLMs

This work proposes a novel training-free few-shot network traffic classification framework based on large language models based on large language models (LLMs) that reduces reliance on labeled data, eliminates task-specific training, and improves performance.

Xingmao Guan, Ning Li, Xueying Han et al. · Cybersecurity · 0 citations